Ayberk Kilicaslan

Enrolled Informatics Master's student at the Technical University of Munich. Accomplished Data Scientist with a passion for delivering valuable data through analytical functions and data retrieval methods.

Multi Objective Genetic Algorithm for Mission Optimization

• Multiple UAV and multiple task assignment and its optimization by using Python.
• Drawing the pareto frontier line respect to MOGA results.
• Technologies: Python, Pandas, PyMoo, PyGAD

Brain Stroke Classification and Stroke Segmentation

• Classifying 3 different types of brain stroke with transfer learning by using VGG-16.
• After that, image segmentation process to find out stroke with U-NET architecture.
• Technologies: Python, Keras, Tensorflow, Augmentor, OpenCV

Brain MRI Tumor Detection

• CNN which helps to detect tumor on the brain and classificate new images by using people brain mr images.
• Technologies : Python, OpenCV, Tensorflow, Pandas, NumPy

QuizHub

• Desktop quiz application which helps teachers and students during pandemic and distance learning. Technologies : Java, SceneBuilder

Teknofest - Artificial Intelligence in Health finalist 2021.

Neural Networks and Deep Learning

Dokuz Eylül University ACM Board Member

AIGEN Community Supervisory Board Member